Triple
T8000085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haddenham and Thame Parkway railway station |
E186223
|
entity |
| Predicate | typicalServiceFrequencyToLondon |
P20359
|
FINISHED |
| Object | approximately 2 trains per hour (off-peak) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately 2 trains per hour (off-peak) | Statement: [Haddenham and Thame Parkway railway station, typicalServiceFrequencyToLondon, approximately 2 trains per hour (off-peak)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalServiceFrequencyToLondon Context triple: [Haddenham and Thame Parkway railway station, typicalServiceFrequencyToLondon, approximately 2 trains per hour (off-peak)]
-
A.
serviceFrequencyType
Indicates how often a service occurs or is scheduled within a given time period.
-
B.
serviceFrequencyContext
Indicates the contextual conditions or circumstances under which a service’s frequency is defined, applied, or interpreted.
-
C.
servesCentralLondon
Indicates that something provides service or access specifically to the Central London area.
-
D.
transitFrequencyApprox
chosen
Indicates an approximate rate or regularity with which a transit event or service occurs between entities.
-
E.
secondaryLondonTerminal
Indicates that a location serves as a secondary terminal in London associated with a primary London terminal for a given service or route.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c9b67988190a8a4a2c960017400 |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:17 p.m.